Run
3816684

Run 3816684

Task 28 (Supervised Classification) optdigits Uploaded 03-07-2017 by Miguel Cachada
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.FilteredClassifier_AttributeSelectedClassifier_RandomTree(1)Weka implementation of FilteredClassifier
weka.RandomTree(14)_K0
weka.RandomTree(14)_M1.0
weka.RandomTree(14)_V0.001
weka.RandomTree(14)_S1
weka.FilteredClassifier_AttributeSelectedClassifier_RandomTree(1)_Fweka.filters.unsupervised.attribute.Standardize
weka.FilteredClassifier_AttributeSelectedClassifier_RandomTree(1)_Wweka.classifiers.meta.AttributeSelectedClassifier
weka.AttributeSelectedClassifier_RandomTree(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_RandomTree(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_RandomTree(2)_Wweka.classifiers.trees.RandomTree

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.9356
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8842
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8713
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4939.4053
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0232
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
5620
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.8842
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8842
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.8842
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1287
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1522
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5074
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1426.5522
UserCPU time millis
340
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
330
Cross-validation details (10-fold Crossvalidation)